26 citations · 48 across the 4 of their papers we have counts for
9 papers · 1 filter
Unifying Visual Perception by Dispersible Points Learning
Jianming Liang, Guanglu Song, Biao Leng +1
We present a conceptually simple, flexible, and universal visual perception head for variant visual tasks, e.g., classification, object detection, instance segmentation and pose es…
RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection
Zhuofan Zong, Qianggang Cao, Biao Leng
Feature pyramid networks (FPN) are widely exploited for multi-scale feature fusion in existing advanced object detection frameworks. Numerous previous works have developed various…
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes
Jiongchao Jin, Arezou Fatemi, Wallace Lira +5
We introduce RaidaR, a rich annotated image dataset of rainy street scenes, to support autonomous driving research. The new dataset contains the largest number of rainy images (58,…
KPNet: Towards Minimal Face Detector
Guanglu Song, Yu Liu, Yuhang Zang +3
The small receptive field and capacity of minimal neural networks limit their performance when using them to be the backbone of detectors. In this work, we find that the appearance…
Rethinking Loss Design for Large-scale 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
Learning discriminative shape representations is a crucial issue for large-scale 3D shape retrieval. In this paper, we propose the Collaborative Inner Product Loss (CIP Loss) to ob…
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
How to obtain the desirable representation of a 3D shape, which is discriminative across categories and polymerized within classes, is a significant challenge in 3D shape retrieval…